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Computer Science & Engineering (Artificial Intelligence & Machine Learning)

Focuses on the study of data science, data analytics, and data-driven decision-making Covers areas such as statistical analysis, machine learning, data visualisation, and big data technologies Emphasises both theoretical understanding and practical implementation of data science techniques Includes projects and real-world data analysis to gain hands-on experience

duration

4 Years (8 Semesters)

Programme type

Full time

Programme Regulations

Programme Structure

B.Tech AI & ML Programme Structure 2023

 

Eligibility Criteria

Candidates should have passed the 2nd PUC/12th/Equivalent Exam with English as one of the languages and obtained a minimum of 45% marks in aggregate in Physics and Mathematics along with Chemistry / Biotechnology / Biology / Electronics / Computers / Home Science / Geology / Statistics (40% for Karnataka reserved category candidates) from a recognised board. Candidates must also qualify in one of the following entrance exams: CET / COMED-K / JEE / CMRUAT entrance tests and possess valid ranks / scores.

Key Features

  • Artificial Intelligence and Machine Learning (AIML) is the sub-area of computer science devoted to creating software and hardware that enables computers to perform tasks that would be considered ‘intelligent’ if carried out by people.
  • According to the National Association of Software and Services Companies (NASSCOM), the AI sector is expected to be worth $16 trillion by 2030.
  • In order to gain the right skill set for upcoming job opportunities in the areas of AI and ML, which can assist the industry in adopting technology-driven solutions, CMR University offers a wide spectrum of new-age IT programmes, with AIML among them.
  • This first-of-its-kind B.Tech programme in Computer Science and Engineering, with specialisation in Artificial Intelligence and Machine Learning (AIML), is specifically designed to equip students with theoretical foundations and practical skills in Artificial Intelligence and Machine Learning, preparing them to face the new world of digital disruption and transformation.
   

Scope And Objective

  • Artificial Intelligence and Machine Learning (AIML) is the sub-area of computer science devoted to creating software and hardware to get computers to do things that would be considered ‘intelligent’ as if people did them.
  • According to the National Association of Software and Services Companies (NASSCOM), the AI sector is expected to be worth $16 trillion by 2030.
  • In order to have the right skill set for the upcoming job opportunities in the areas of AI and ML, which can complement and assist the industry in adopting technology-driven solutions, CMR University is offering a wide spectrum of new-age IT programmes and AIML is one among them.
  • This first of its kind B.Tech programme in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning (AIML) is specifically designed to prepare students with theoretical foundations and practical skills of Artificial Intelligence and Machine Learning and face the new world of Digital disruption and transformation.

Programme Assessment

  • Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
  • Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
  • Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
  • Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
  • Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
  • Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
  • Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

  • Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialization for solving complex engineering problems.
  • Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialization for solving complex engineering problems.
  • Design/Development of Solutions: Design solutions for complex Engineering problems and Design System Components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research–based knowledge and research methods including Design of Experiments, Analysis and Interpretation of data, and synthesis of information to provide valid conclusions.
  • Modern Tool usage: Create, select, and apply; appropriate techniques, resources, and modern engineering and IT tools including Prediction and Modeling; to complex engineering activities with an understanding of the limitations.
  • The Engineer and Society: Apply, reasoning informed by the contextual knowledge to assess Societal, Health, Safety, Legal and Cultural issues and the consequent responsibilities relevant to the professional Engineering practice.
  • Environment and sustainability: Understand the impact of the professional Engineering solutions in Societal and Environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex Engineering activities with the Engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give & receive clear instructions.
  • Project Management and Finance: Demonstrate knowledge and understanding of the Engineering and Management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life–long learning: Recognize the need for, and have the preparation and ability to engage in independent and life–long learning in the broadest context of technological change.

What expertise will you gain?

AI / ML Concepts

Programming Languages

Statistical Modeling

ML Algorithms and Frameworks

App Development Skill-Set

Career Opportunity

  • Data scientist
  • Data analyst
  • Business analyst
  • Data engineer
  • Machine learning engineer
  • Data consultant

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

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FAQs

Four years

Written test and interview

10+2 with Physics, Chemistry, and Mathematics as subjects and a minimum of 45% marks in 10+2. Other equivalent qualifications may also be considered.

Yes, it covers almost all areas of computing. CMR University, one of the top Computer Science Engineering colleges in Karnataka, is an excellent choice for the B.Tech. in CSE course. Our course includes modules on network security, data structures, mobile application development, data mining, big data, artificial intelligence, cryptography, digital forensics, and data analytics.

B.Tech. in CSE is one of the best courses available for securing a stable professional future. Study B.Tech. in CSE at one of the top private universities for Computer Science in Bangalore, CMR University. The software and IT industries are emerging fields with many innovations. An undergraduate course in Computer Science will help you build a strong career foundation.

 

The following are key skills required to be a Computer Science engineer:

  • Analytical skills
  • Creativity
  • Basics of machine learning
  • Web development knowledge
  • Programming skills
  • Critical thinking
  • Problem-solving skills
  • Data structures
  • Algorithms
  • Basics of network security
  • Basics of cryptography
  • Quick learning abilities

Job opportunities for Computer Science engineers include:

  • Software Developer
  • Computer Hardware Engineer
  • Web Developer
  • Computer Programmer
  • Game Developer
  • App Developer

The Department of CSE at CMR University offers facilities such as a Data Structures laboratory, labs for programming with Python, a lab for problem-solving programming, a Data Structures and Algorithms lab, a Java programming lab, and a Database Management Systems lab. Additionally, spacious classrooms are equipped with electronic infrastructure for audio-visual teaching aids, rapid prototyping labs, and a conference room for discussions.

Log in to the portal on our website, download the admission form, and fill it out. You can either submit the form in person at the college campus or submit it online after payment of the application fees. If you are shortlisted, you will receive a call for an interview.

Yes, Computer Science engineers are in high demand. With the growth of automation and AI technology, there is a significant need for Computer Science engineers to analyse big data and data analytics. This subject serves as the foundation for many subfields in engineering, creating substantial demand for Computer Science engineers.

 

Yes, at CMR University, we have a dedicated placement cell with experienced professionals from various engineering fields to train students for placement interviews. We also help students develop their soft skills and leadership abilities from the first year through various modules.

Yes, the BTech course at CMR University provides students with practical training and internship opportunities as part of the curriculum.

 

Top recruiters for Artificial Intelligence professionals are HCL, MITSUBISHI, Amazon, L&T technology service, DELL, Infosys, and others. AI recruiting is fundamentally important for determining unbiased criteria involving the benefits of a candidate. Through recruiting, AI professionals are able to do the recruiting process in a user-friendly way.

One who has thought about a tech career can apply for a BTech CSE specialization course in AI and ML. Studying BTech cse under AI and machine learning engineering colleges in Bangalore is good. BTech computer science colleges in Bangalore provide data science courses that can assist an organization and an industry in adopting various technology-driven solutions. Studying in the concerned course enhances career opportunities.

There is a growing career opportunity In the courses of Artificial Intelligence. You can attain different kinds of expertise. Such as AI/ML concepts, programming languages, statistical modeling, app development skills, etc. Career opportunities are vast through studying this. One can be a data scientist, business analyst, Data analyst, or data consultant.

BTech AI specialization in AI and ML graduates has provided many career opportunities. One who has studied this course may have become a software developer, web developer, system analyst, network administrator, cybersecurity analyst, database administrator, or others. Furthermore, one can be an AI specialist, which opens other career opportunities.

Want to know more about CMRU?

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